Rega
Bioc currentR Interface to European Genome-Phenome Archive
Release Lineage
Entered 3.23 · Apr 29, 2026
Current · Requires R 4.6
Description
The European Genome-phenome Archive (EGA) provides long-term storage and controlled sharing of personally identifiable genetic data. The Rega package offers a streamlined and extensible R interface to the EGA API, facilitating the programmatic upload of metadata. GEO-like Excel submission template is provided as a default method of organizing submission metadata.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
87 64 exported
Complexity
4.9 avg / 15 max
Call network
87 nodes / 171 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
21,391
Files
211
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
65
Internal functions
23
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
2.85
testthat edition
3
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.6
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
1
First release
2026-06-09
Latest release
2026-06-09
Avg cadence
–
Cold removal rate
–
Dep drift
0
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 99%
- Documented parameters
- 100%
- Return-value docs
- 98%
- References docs
- 0%
Topics
People
- Igor Cervenka author maintainer
- Athimed El Taher author
- Robert Ivanek author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("Rega")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.